The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises eight non-university research institutes in Berlin which are funded by the federal and state governments. The research institutes are members of the Leibniz Association.

WIAS invites in the Research Group

”Numerical Mathematics and Scientific Computing”

(Head: Prof. Dr. Volker John) applications for a

Research Assistant (f/m/d)

 (Ref. 20/24).

to be filled at January 1st, 2021. The position is associated with the research project

"Mathematical framework for MR Poroelastography"

within the Berlin Mathematics Research Center MATH+.

The purpose of the position is to carry out research in the field of numerical methods for mathematical image processing.

Specifically, the project focuses on the development, analysis, and implementation of algorithms to support the identification of biological tissue parameters using medical imaging.

The project is a collaboration between two WIAS research groups ("Numerical Mathematics and Scientific Computing" - PI Alfonso Caiazzo and "Stochastic Algorithms and Nonparametric Statistics" - PI Karsten Tabelow) and the Research group "Elastography" at the Charité (PI Prof. Dr. I. Sack).

Prerequisite is a master diploma or doctorate degree in applied mathematics, as well as experience in at least one of the following areas: discretization of PDEs, scientific computing, image processing, data assimilation methods. Programming skills and expertise in implementation of numerical methods are beneficial.

The successful candidate will work in an interdisciplinary environment, and a close interaction with experimentalists is expected.

Please direct your queries to Dr. A. Caiazzo (Alfonso.Caiazzo@wias-berlin.de) or Dr. Karsten Tabelow (Karsten.Tabelow@wias-berlin.de).

The position is remunerated according to TVöD and is limited until December 31st, 2021.

The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference.

Please upload your complete application documents (motivation letter, detailed CV, certificates (including the list of courses and grades, if applicable), copy of the thesis (master’s/diploma or doctoral thesis), reference letter, etc.) via our applicant portal until November 27th, 2020 using the button "Apply online".

We are looking forward to your application!